Objective:To explore the impact of lifestyle on TCM constitutions among female medical workers at Xiyuan Hospital, Chinese Academy of Traditional Chinese Medicine using questionnaires; To provide references for optimizing their health management.Methods:A cross-sectional study was conducted. A total of 500 female medical workers were randomly selected from Xiyuan Hospital from April to December 2022 to complete the questionnaires. The relationship between lifestyle and constitutions of female medical workers was analyzed.Results:A total of 457 cases completed the questionnaires. Among the 9 constitutions, 102 people (22.32%) had a peaceful constitution, while 355 people (77.68%) had a biased constitution; the top three biased constitutions were qi stagnation constitution 90 people (19.69%), yang deficiency constitution 83 people (18.16%), and phlegm-dampness constitution 56 people (12.25%). The factors that influenced physical constitutions according to the severity of lifestyle were: sleep, diet, mood, exercise, labor, environment, children, and education.Conclusions:Female medical workers have a high proportion of biased constitution, and the main types of biased constitution are qi stagnation constitution, yang deficiency constitution, and phlegm-dampness constitution. According to the existing biased constitution, targeted adjustments and interventions are carried out, and it is of great significance to protect and care for the health of female medical workers from the concept of preventive treatment of diseases with TCM.

Objective To examine the expression levels of inflammatory factors,including IL-6,IL-10,MMP-9,IL-17A,and LDH,in the cerebrospinal fluid(CSF)of patients with spontaneous intracerebral hemor-rhage(sICH),and to investigate their associations with disease severity and clinical outcomes.Methods A total of 168 patients with sICH admitted to Tangshan GongRen Hospital between January 2023 and January 2025 were prospectively enrolled as the study group,while 30 non-sICH patients who underwent lumbar puncture during the same period served as the control group.Levels of inflammatory factors in CSF were compared between the two groups.Spearman's rank correlation analysis was performed to assess the association between inflammatory factor levels and clinical severity in sICH patients.Binary logistic regression analysis was conducted to identify independent predictors of sICH prognosis.Receiver operating characteristic(ROC)curve analysis was employed to evaluate the prognostic value of these inflammatory factors in sICH.Results The levels of IL-6,IL-10,MMP-9,IL-17A,and LDH in the CSF of patients with sICH were significantly higher than those in non-sICH patients(all P<0.05).Furthermore,among sICH patients,these biomarker levels exhibited a graded increase according to disease severity:severe>moderate>mild(all P<0.05).Spearman correlation analysis revealed significant positive correlations between CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH and the NIHSS scores,with correlation coefficients(r)of 0.686,0.553,0.685,0.593,and 0.695,respectively(all P<0.05).When comparing the prognoses of sICH patients,hematoma size,NIHSS score,and CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were significantly higher in the deceased group than in the survival group(P<0.05),whereas ApoA1 levels were lower in the deceased group(P<0.05).Logistic regression analysis revealed that hematoma size,NIHSS score,and elevated CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were independent risk factors for mortality in sICH patients(P<0.05).ROC curve analysis showed that the AUC values for CSF IL-6,IL-10,MMP-9,IL-17A,and LDH in predicting sICH prognosis were 0.794,0.754,0.670,0.717,and 0.683,respectively.Notably,the combination of CSF inflammatory markers with hematoma size and NIHSS score yielded an AUC of 0.993,demonstrating significantly greater predictive accuracy than CSF inflammatory markers alone(P<0.05).Conclusions The levels of inflammatory factors in the CSF,including IL-6,IL-10,MMP-9,IL-17A,and LDH,were elevated in patients with sICH and positively correlated with disease severity.Combining CSF inflammatory markers with the NIHSS score and hematoma size improved the predictive accuracy for sICH prognosis.

Carotid artery perivascular adipose tissue (PVAT) can influence plaque formation and progression. Recently, carotid artery PVAT density has emerged as a novel imaging biomarker being capable of reflecting local metabolic and inflammatory states of adipose tissue. It is closely associated with vulnerable plaque characteristics, such as intraplaque hemorrhage, thinning or rupture of the fibrous cap, lipid-rich necrotic core, and calcification. Therefore, carotid artery PVAT density holds promise as a key parameter for early identification of vulnerable carotid plaques and stroke risk prediction. This article reviews the definition and pathophysiological mechanism of PVAT and application of imaging techniques in PVAT, as well as the association between carotid artery PVAT density and vulnerable characteristics of plaques, with the aim of providing references for early identification of asymptomatic high-risk plaques and individualized prevention strategies of ischemic stroke.

Objective To examine the expression levels of inflammatory factors,including IL-6,IL-10,MMP-9,IL-17A,and LDH,in the cerebrospinal fluid(CSF)of patients with spontaneous intracerebral hemor-rhage(sICH),and to investigate their associations with disease severity and clinical outcomes.Methods A total of 168 patients with sICH admitted to Tangshan GongRen Hospital between January 2023 and January 2025 were prospectively enrolled as the study group,while 30 non-sICH patients who underwent lumbar puncture during the same period served as the control group.Levels of inflammatory factors in CSF were compared between the two groups.Spearman's rank correlation analysis was performed to assess the association between inflammatory factor levels and clinical severity in sICH patients.Binary logistic regression analysis was conducted to identify independent predictors of sICH prognosis.Receiver operating characteristic(ROC)curve analysis was employed to evaluate the prognostic value of these inflammatory factors in sICH.Results The levels of IL-6,IL-10,MMP-9,IL-17A,and LDH in the CSF of patients with sICH were significantly higher than those in non-sICH patients(all P<0.05).Furthermore,among sICH patients,these biomarker levels exhibited a graded increase according to disease severity:severe>moderate>mild(all P<0.05).Spearman correlation analysis revealed significant positive correlations between CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH and the NIHSS scores,with correlation coefficients(r)of 0.686,0.553,0.685,0.593,and 0.695,respectively(all P<0.05).When comparing the prognoses of sICH patients,hematoma size,NIHSS score,and CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were significantly higher in the deceased group than in the survival group(P<0.05),whereas ApoA1 levels were lower in the deceased group(P<0.05).Logistic regression analysis revealed that hematoma size,NIHSS score,and elevated CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were independent risk factors for mortality in sICH patients(P<0.05).ROC curve analysis showed that the AUC values for CSF IL-6,IL-10,MMP-9,IL-17A,and LDH in predicting sICH prognosis were 0.794,0.754,0.670,0.717,and 0.683,respectively.Notably,the combination of CSF inflammatory markers with hematoma size and NIHSS score yielded an AUC of 0.993,demonstrating significantly greater predictive accuracy than CSF inflammatory markers alone(P<0.05).Conclusions The levels of inflammatory factors in the CSF,including IL-6,IL-10,MMP-9,IL-17A,and LDH,were elevated in patients with sICH and positively correlated with disease severity.Combining CSF inflammatory markers with the NIHSS score and hematoma size improved the predictive accuracy for sICH prognosis.

This paper systematically searched Chinese and English databases from January 2000 to December 2024 to screen the research literature related to labor positions and biomechanics.By extracting key information such as study type, position type, measurement technique, mechanical parameters and injury findings, we focused on the differences in pelvic outlet expansion, lower limb joint loading and injury risk between upright and horizontal birthing positions, and then summarized the biomechanical mechanisms and findings by using thematic analysis.The analysis showed that the upright position could significantly expand the pelvic outlet, but might increase the load on the ankle and knee joints;the combination of video capture and open-source platform technology provided a new direction for the dynamic study of delivery positions.

Carotid artery perivascular adipose tissue (PVAT) can influence plaque formation and progression. Recently, carotid artery PVAT density has emerged as a novel imaging biomarker being capable of reflecting local metabolic and inflammatory states of adipose tissue. It is closely associated with vulnerable plaque characteristics, such as intraplaque hemorrhage, thinning or rupture of the fibrous cap, lipid-rich necrotic core, and calcification. Therefore, carotid artery PVAT density holds promise as a key parameter for early identification of vulnerable carotid plaques and stroke risk prediction. This article reviews the definition and pathophysiological mechanism of PVAT and application of imaging techniques in PVAT, as well as the association between carotid artery PVAT density and vulnerable characteristics of plaques, with the aim of providing references for early identification of asymptomatic high-risk plaques and individualized prevention strategies of ischemic stroke.

This paper systematically searched Chinese and English databases from January 2000 to December 2024 to screen the research literature related to labor positions and biomechanics.By extracting key information such as study type, position type, measurement technique, mechanical parameters and injury findings, we focused on the differences in pelvic outlet expansion, lower limb joint loading and injury risk between upright and horizontal birthing positions, and then summarized the biomechanical mechanisms and findings by using thematic analysis.The analysis showed that the upright position could significantly expand the pelvic outlet, but might increase the load on the ankle and knee joints;the combination of video capture and open-source platform technology provided a new direction for the dynamic study of delivery positions.

Objective:To investigate the feasibility of digital reconstruction technology in virtual planning of the free perforator flap of anterior tibial artery (ATA) for reconstruction of soft tissue defects in foot and ankle.Methods:From May 2018 to April 2023, 10 patients, including 7 males and 3 females, with foot or ankle defects were admitted in the Department of Orthopaedics Surgery, 920th Hospital of Joint Logistics Support Force. There were 5 defects in dorsal foot, 3 in plantar foot and 2 in medial malleolus. The sizes of defects ranged from 3.0 cm×2.5 cm to 5.5 cm×4.0 cm, all with exposed bones or tendons. Preoperative CTA scans from aorta abdominalis to feet were performed, and 3D digital models of bones, arteries and skin were reconstructed with Mimics. The most suitable perforators were selected to design the perforator flaps of ATA with the software, then the digital virtual flaps were superimposed onto the surfaces of donor sites and marked under a translucent image by Sina. During the surgery, flaps were harvested according to preoperative digital designs with the size of 3.5 cm×3.0 cm-6.0 cm×4.0 cm. The perforating branches were dissected along the way, and the origin, diameter, course, location and length of the perforators were recorded. The perforating branches of the flaps were anastomosed to the proximal vessels in the recipient sites, and the flaps were sutured to cover the wound. For the 10 donor sites, skin graft was used in 2 donor sites and direct suture were performed on 8 donor sites. After discharge of the patients, scheduled outpatient or online follow-ups were carried out to assess the progress of fracture healing as well as the appearance, texture and colour of flaps, and the recovery of donor sites. Ankle function was evaluated by Maryland foot scoring system.Results:Three-dimensional digital reconstructions of donor sites were successfully performed on all patients, enabling successful design and harvest of the free perforator flaps of ATA. The flaps were able to be used in complete reconstruction of the respective defects and made the anatomical parameters of perforators of the donor sites closely matching with those of preoperative modeling. Follow-up periods ranged from 6 to 19 months, apart from 1 flap experienced partial necrosis at distal endge, and another flap with partial exfoliation after blistering. The rest of 8 flaps were all survived smoothly, with appropriate thickness, aesthetic appearance, good texture and colour. Sensations in both donor sites and dorsal feet were all normal. Seven patients achieved excellent and 3 were good according to Maryland's ankle-foot function score. The donor sites healed well without scar hyperplasia.Conclusion:Digital reconstruction technology enables an accurate identification of perforators as well as individualised design and harvest procedures for perforator flaps of ATA, thereby it facilitates precise reconstructions of small-to-medium-sized defects in foot or ankle. It is a good method for vascular anatomy and flap harvesting.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023.Methods:The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed.Results:A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M ( Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant ( P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age ( P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion:Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.

OBJECTIVE: To explore the immunological mechanisms underlying spermatogenetic malfunction in patients with non-obstructive azoospermia (NOA) based on bioinformatics and machine learning, and to screen out the key genes associated with spermatogenesis failure. METHODS: NOA-related datasets were obtained from the GEO database, and the differentially expressed genes identified by differential analysis and weighted gene co-expression network analysis (WGCNA). A model of spermatogenesis scoring was established for analysis of the immunological microenvironment and cell interaction networks related to spermatogenesis failure. The key genes were screened out by machine learning, followed by analysis of their correlation with T cells and macrophages. An NOA mouse model was constructed for validation of transcriptome sequencing. RESULTS: Seventy-five differentially expressed genes were identified for the establishment of the spermatogenesis scoring model. The low spermatogenesis score group showed a higher infiltration of the immune cells, with an increased proportion of T cells and macrophages and a correlation of cell interaction signals with immunity. SOX30, KCTD19, ASRGL1 and DRC7 were identified by machine learning as the key genes related to spermatogenesis, with down-regulated expressions in the NOA group, and their expression levels negatively correlated with the infiltration of T cells and macrophages. The accuracy of the spermatogenesis scoring and machine learning models, as well as the trend of the expression levels of the key genes, was successfully validated with the transcriptome sequencing data on the NOA mouse testis. CONCLUSION The development of NOA is closely associated with enhanced immunological microenvironment in the testis. T cells and macrophages may play important roles in spermatogenesis failure. SOX30, KCTD19, ASRGL1 and DRC7 are potential biomarkers for the diagnosis and treatment of NOA.
Male ; Azoospermia/genetics* ; Machine Learning ; Animals ; Computational Biology ; Mice ; Humans ; Spermatogenesis/genetics* ; Gene Expression Profiling ; Macrophages/immunology* ; Gene Regulatory Networks ; T-Lymphocytes/immunology* ; Transcriptome